BEKhealth + Areti Health:
One week after implementation, our client has engaged 462 BEK medically-qualified candidates, pre-screened 34 patients, and scheduled 31 patients for initial screening visits.
Educational Resources
The Alldus Podcast:
AI in Action
PODCAST
The Alldus Podcast: AI in Action | We’re excited to have participated in a recent AI in Action podcast, the show where Alldus explores the impact that…
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BEKhealth AI Outperforms Google, Amazon, and Other Leading Medical AI
WHITE PAPER
BEKhealth’s patient-matching large language models (LLMs) demonstrate higher accuracy in matching patients…
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Precision Site Matching for Rapid Physician Referral
CASE STUDY
A global pharmaceutical company needed to identify clinical research sites with the right patient population to enroll in a new atrial fibrillation trial. Within 24 hours…
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Rapid Identification of Right-Fit Patients
CASE STUDY
A global pharmaceutical company needed to identify clinical research sites with the right patient population to enroll in a major depressive disorder…
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EPIC EMR Expedited Implementation Puts Clinical Research on the Fast-track
CASE STUDY
BEK worked with a major hospital network to quickly and collaboratively implement our EPIC compatible EMR Patient-Matching platform to set them up for…
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Put the BEKnetwork to Work Matching Your Site to Right-Fit Sponsors and Trials for Your Patients
ONE PAGER
Put the BEKnetwork to Work Matching Your Site to Right-Fit Sponsors and Trials for Your Patients. The BEKnetwork is free to sites and connects you to…
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Empowering Healthcare Organizations of all Sizes to Rapidly Find and Match Patients to Clinical Research Studies
ONE PAGER
BEK leverages a team of clinical experts and harnesses the power of AI to rapidly enhance your ability to find and match…
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Rapidly Find and Match Clinically Qualified Patients to Clinical Research Studies
ONE PAGER
BEK enables you to streamline trial and site network analysis within minutes providing researchers with real-time data to inform the decision-making process leading to improved patient matching…
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